Ayan Acharya

Orcid: 0000-0003-3023-4337

According to our database1, Ayan Acharya authored at least 40 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
A Precise Characterization of SGD Stability Using Loss Surface Geometry.
CoRR, 2024

2023
QuantEase: Optimization-based Quantization for Language Models - An Efficient and Intuitive Algorithm.
CoRR, 2023

mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization.
CoRR, 2023

Promoting Inactive Members in Edge-Building Marketplace.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Optimizing for Member Value in an Edge Building Marketplace.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization.
CoRR, 2022

2020
Isometric Graph Neural Networks.
CoRR, 2020

2019
Combining clustering and active learning for the detection and learning of new image classes.
Neurocomputing, 2019

2018
A Dual Markov Chain Topic Model for Dynamic Environments.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2015
A differential evolution algorithm to optimise the combination of classifier and cluster ensembles.
Int. J. Bio Inspired Comput., 2015

Using metaheuristics to optimize the combination of classifier and cluster ensembles.
Integr. Comput. Aided Eng., 2015

Gamma Process Poisson Factorization for Joint Modeling of Network and Documents.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Nonparametric Poisson Factorization Machine.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning.
ACM Trans. Knowl. Discov. Data, 2014

Active Multitask Learning Using Both Latent and Supervised Shared Topics.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013
Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Noisy Matrix Completion Using Alternating Minimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Using Both Latent and Supervised Shared Topics for Multitask Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Cluster Ensembles: Theory and Applications.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
Transfer Learning with Cluster Ensembles.
Proceedings of the Unsupervised and Transfer Learning, 2012

An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers
CoRR, 2012

Real Time Car Detection and Tracking in Mobile Devices.
Proceedings of the 2012 International Conference on Connected Vehicles and Expo, 2012

2011
Cluster ensembles.
WIREs Data Mining Knowl. Discov., 2011

A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

2009
A partly deterministic and partly stochastic scheme for the identification of fractional-order processes.
Int. J. Adv. Intell. Paradigms, 2009

A recurrent neural model for parameter estimation of mixed emotions from facial expressions of the subjects.
Proceedings of the International Joint Conference on Neural Networks, 2009

Balancing Energy Dissipation in Data Gathering Wireless Sensor Networks Using Ant Colony Optimization.
Proceedings of the Distributed Computing and Networking, 10th International Conference, 2009

2008
Novel and improved methods of regular geometric shape recognition from digital image using artificial ants.
Int. J. Intell. Def. Support Syst., 2008

Extension of Ant System algorithms with exponential pheromone deposition rule for improved performance.
Int. J. Intell. Def. Support Syst., 2008

Extension of Max-Min Ant System with Exponential Pheromone Deposition Rule
CoRR, 2008

Complete Identification of a Dynamic Fractional Order System Under Non-ideal Conditions Using Fractional Differintegral Definitions
CoRR, 2008

A Novel Parser Design Algorithm Based on Artificial Ants
CoRR, 2008

Balancing Exploration and Exploitation by an Elitist Ant System with Exponential Pheromone Deposition Rule
CoRR, 2008

Tuning PID and FOPID Controllers using the Integral Time Absolute Error Criterion
CoRR, 2008

A Deterministic Model for Analyzing the Dynamics of Ant System Algorithm and Performance Amelioration through a New Pheromone Deposition Approach
CoRR, 2008

A Swarm Intelligence Based Scheme for Complete and Fault-tolerant Identification of a Dynamical Fractional Order Process
CoRR, 2008

Fast and Efficient Circle Detection Schemes for Digital Image.
Proceedings of the First International Conference on Emerging Trends in Engineering and Technology, 2008


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